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Food Pairing Recommendation System
MediumCV System Design
Design a computer vision system that recommends complementary food or drinks to pair with a given dish.
Scenario: You're building a feature for a restaurant app. Given an image of a dish, the system should suggest complementary items (drinks, sides, desserts) that would pair well with it.
Your Task: Implement a function that returns the system design specification as a structured dictionary. Your design should include:
- Image Processing Pipeline - How to preprocess the input image
- Feature Extraction - What model/approach to use for understanding the food
- Classification/Recognition - How to identify the dish type
- Recommendation Engine - How to generate pairing suggestions
- Output Format - How results are structured
Evaluation: Your design will be evaluated on completeness, appropriate model choices, and practical feasibility.
Design Mode
📝 Your Design Approach
Describe your system design approach. Consider components, data flow, and key decisions.
🎯 Design Questions(Select all that apply)
Q1.Which components are essential for extracting visual features from food images?
Q2.What database/storage strategies work best for a food pairing recommendation system?
Q3.How should the system handle multiple food items in a single image?
Q4.What's the best approach for generating pairing recommendations?
0 of 4 questions answered